A collection of Benchmark functions for numerical optimization problems
- Updated
Sep 3, 2024 - Python
A collection of Benchmark functions for numerical optimization problems
Solve a max-cut problem using a quantum computer
Optimizers for/and sklearn compatible Machine Learning models
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
Optimization methods for science and engineering.
Implementation of collection of test functions for UO(Unconstrained Optimization)
Provided a function (written in natural mathematical notation), returns a maxima or minima.
Course Projects for Operations Research in USTC (2021 Fall).
Final project for the course O4DS at università di Pisa for the A.Y 2023/2024. In this project we explore the problem of estimating the matrix 2-norm as an unconstrained optimization problem using Steepest Descent and BFGS method.
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